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INRIA
Data Scientist
June 29, 2026 – Present
qhack-project-raflaneq
February 23, 2023 – February 28, 2023
Repo for your official project submission ot the QHACK '23 hackathon.
View ProjectquMCMC
November 26, 2022 – September 25, 2024
Repository for development of end-to-end quantum enhanced Markov Chain Monte Carlo implementation
View ProjectteamPafloxyQ
September 27, 2022 – September 28, 2022
Game Development repo for team PafloxyQ
View ProjectQHAM21_project
May 3, 2022 – May 3, 2022
In this work I have provided a review of the work presented by N.Miller et al. on Quantum Hopfield Associative Memory (QHAM) \small{\cite{QHAM}}, along with a brief overview of various methods of implementing quantum neural networks. I have discussed the results to some of the experiments that I have conducted on my own implementation of the QHAM .
View ProjectQuantum-Computing-and-QML
April 24, 2022 – June 23, 2022
Quantum-Computing-and-QML — GitHub repository
View ProjectHuffman.encoder
January 1, 2021 – January 3, 2021
In his theory Claude Shannon described a way we could encode most of our information in a manner such that it could be expressed in the least amount of information. However finding the optimal scheme is still just a theoretical dream yet, but there has been considerable effort in developing ways to encode information in a way to match the Shannon limit. Huffman encoding is one such brilliant scheme to encode any piece of text into strings of binary digits, by using the relative frequency of each symbol in the text in a manner that uses the least size of binary strings and is finitely decodable.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on quantum computing and related research, which indicates a strong academic or research-oriented interest. While this demonstrates depth in a niche area, the lack of diversity in project types (e.g., traditional data science, web development, or business intelligence projects) suggests a potentially narrow scope of experience for a general Data Scientist role. The single listed professional experience as 'Data Scientist' at INRIA is current but lacks details, making it difficult to assess alignment with typical industry data science roles. The experience level is 0, which contradicts the current full-time role listed, indicating a potential data discrepancy or very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and there are no interview notes or detailed project descriptions to infer these aspects.